In the recent 5 to 6 years, I spent most of my awake hours researching the financial markets of crypto assets. Starting with crawling order book data and calculating liquidity measures as a student assistant at Humboldt-University Berlin, I graduated with a thesis on volatility predictions for Bitcoin using neural network-based machine learning. Soon I affiliated with Weizenbaum Institute, a think tank on digitalization issues, and started my doctoral studies at the Technical University of Berlin. I worked on topics at the intersection of computer science and financial economics: stablecoin design approaches and arbitrage, monetary characteristics of speculative cryptocurrencies, and modeling trader behavior. Joining one of the earliest Banks providing services for cryptocurrencies in Germany, I recently joined Hauck Aufhäuser Lampe Privatbank AG. Following my wish to explore finance beyond DLT, I joined a team working on innovation and digital customer experience.
I love collaborating with people of different backgrounds - especially computer scientists. Building up projects is maybe my most favorite occupation of all. On the technical side, I especially enjoy data analysis with Python and R, data mining, data visualization. At heart, however, I am still in love with understanding the economic interactions of humans. Don't hesitate to talk to me!
Contact me via Twitter or LinkedIn: